Fertility after natural disaster: Hurricane Mitch in Nicaragua

This investigation evaluates the effect of Hurricane Mitch on women’s reproductive outcomes throughout Nicaragua. This research aim is achieved by analyzing a unique Nicaraguan Living Standards Measurement Study panel dataset that tracks women’s fertility immediately before and at two time points after Hurricane Mitch, combined with satellite-derived municipality-level precipitation data for the 10-day storm period. Results show higher odds of post-disaster fertility in municipalities receiving higher precipitation levels in the immediate post-Hurricane Mitch period. However, fertility normalizes between disaster and non-disaster areas 4 to 6 years after the storm. These findings suggest that the disruptive effects of a natural disaster such as Hurricane Mitch can have an initial stimulative effect on fertility but that effect is ephemeral.     

The Divide Between “Evidenced‐Based” Approaches and Practitioners of Traditional Theories of Family Therapy

Evidenced‐based approaches continue to grow in the field of family therapy. However, practicing family therapists do not always embrace these approaches. In this article, we explore factors contributing to practitioners' concerns with evidence‐based treatments and suggest a broader, more clinically palatable view of evidenced‐based treatment. We also suggest how family therapy researchers, practitioners, and educators might begin to close the researcher–clinician divide in the best interest of all concerned.     

Being involved in the country: Productive ageing in different types of rural communities

Productive ageing recognises the contribution of older people to economic, social and cultural growth and helps build a sustainable community. Being involved in community life is good for individuals and good for society. However, we know very little about the participation of and contribution by people aged 50 and over in rural communities. This research aimed to develop a better understanding of productive ageing in different types of communities in rural Victoria, Australia. An anonymous self-complete postal questionnaire was distributed to a sample of households in twenty rural communities using the Australia Post Unaddressed Select Service. Those householders 50 years of age and older were invited to complete the survey. Data collected allowed examination of social and civic engagement, familiarity with community, the value placed on social relations by people aged 50 years and over, and how community involvement was linked to community sustainability. In particular it attempts to address the question ‘Does social and civic engagement differ across declining, stable and growing rural communities?’ Despite differences among rural communities, this study showed that older people develop and maintain strong community connections and well-functioning social capital and that participation in social activities was associated with feelings of being connected with community. It also identified health issues and lack of options as the main constraints on participation. A key message for policy makers is that older people play an important role in the sustainability of rural communities. There is much to be gained from actively supporting their participation in activities that are connected to ageing well.     

Applications and Implementation

We propose an alternative solution to the discriminant problem, one that requires little more than a minimum familiarity with linear programming. The approach shows promise for eliminating the complexities of conventional statistical approaches without sacrificing the essential power of existing methods.     

EVALUATING ALTERNATIVE LINEAR PROGRAMMING MODELS TO SOLVE THE TWO-GROUP DISCRIMINANT PROBLEM

The two-group discriminant problem has applications in many areas, for example, differentiating between good credit risks and poor ones, between promising new firms and those likely to fail, or between patients with strong prospects for recovery and those highly at risk. To expand our tools for dealing with such problems, we propose a class of nonpara-metric discriminant procedures based on linear programming (LP). Although these procedures have attracted considerable attention recently, only a limited number of computational studies have examined the relative merits of alternative formulations. In this paper we provide a detailed study of three contrasting formulations for the two-group problem. The experimental design provides a variety of test conditions involving both normal and nonnormal populations. Our results establish the LP model which seeks to minimize the sum of deviations beyond the two-group boundary as a promising alternative to more conventional linear discriminant techniques.